We seek a recent PhD with strong math and statistics skills to join a project recommended for funding by NSF that will develop new approaches to modeling the environmental drivers of population dynamics and their effects. The ideal candidate will have experience with quantitative biological modeling and data analysis and research interests in population and community ecology. The post-doc will be housed in Peter Adler’s lab at Utah State University (http://www.cnr.usu.edu/htm/facstaff/adler-web), but will spend one month per year at Cornell with Steve Ellner (http://www.eeb.cornell.edu/Ellner/) and Giles Hooker (http://faculty.bscb.cornell.edu/~hooker/), and will also collaborate with Robin Snyder (http://www.case.edu/biology/snyder/snyder.html) of Case Western Reserve University. The project will focus on improving methods for model selection (which environmental covariates should we include in demographic models?) and for fitting nonlinear norms of reaction. The post-doc’s efforts will center on empirical applications of the new methods to long-term data sets from semi-arid plant communities. Depending on the candidate’s interests, applications include forecasting population responses to environmental change, testing theory about the population and community consequences of environmental variability, and explaining life histories in varying environments. Salary starts at $40,000 and the position is funded for over 2.5 yrs. To apply, please email the following attachments to Peter Adler ([email protected]): a CV, statement of research interests, contact information for three references, and, optionally, two papers and/or unpublished manuscripts. We will begin reviewing applications Feb. 24. We anticipate scheduling interviews in late March, with a start date for the position in mid-2014. To apply, upload a CV, a statement of research interests (2 pages), contact information for three references, and, optionally, two papers and/or unpublished manuscripts. For a complete position description and application instructions please see: http://jobs.usu.edu/applicants/Central?quickFind=59771. Contact Peter Adler (peter.adler [at] usu.edu) with questions.
